Due to climate change, the severity, extent, and frequency of wildfires have increased. The threat of wildfires has never been more serious than it is today. In recent years, countries worldwide, from the United States, Argentina, and Brazil to Italy, Greece, and Australia, has been severely affected by wildfires. This has resulted in the loss of many human lives, animals, and millions of hectares of forests.
Wildfires pose a particular threat to forest ecosystems and high-risk rural areas. Key services and resources, including health and safety, forestry, natural disaster and emergency response agencies, and rural planning, are burdened with heavy responsibilities. Existing disaster management systems may struggle to cope with the increasing frequency of fires. The most critical needs lie in two technological innovations: prediction and improved firefighting. Artificial intelligence can assist in predicting hazardous locations and determining the best firefighting strategies.
Wildfires are a formidable natural disaster with immense destructive power. In the realm of forest fire prevention, infrared thermal imaging technology stands as a pivotal technique, enabling real-time monitoring across all hours, vast distances, and wide areas. Infrared thermal imaging sensors receive infrared radiation emitted by objects, creating thermal distribution maps of object surfaces and enabling contactless temperature measurement. This technology can overcome challenging weather conditions such as rain, snow, and fog, and operates effectively during nighttime hours.
Early fire detection
To proactively warn and guard against the outbreak of fires, Sunell products actively employ both infrared thermal imaging technology and artificial intelligence. Through the integration of infrared thermal imaging technology and AI deep learning, Sunell's thermal imaging products can detect temperature anomalies in critical areas, triggering timely alerts to prevent fires. In fire-prone regions, thermal imaging cameras equipped with intelligent fire point detection algorithms can aid in early fire detection.
Strong Recognition Capability
Through thermal imaging detection, it swiftly identifies high-temperature targets; coupled with deep learning algorithms, it accurately discerns forest smoke or fires, achieving even swifter fire detection, more precise alerts, and reduced false alarm rates.
Remote Notification and Integrated Control
Wildfire detection solutions offer remote notification capabilities. Once a fire or abnormal temperature situation is detected, the system automatically sends notifications to pre-defined personnel, including security personnel and firefighters, enabling prompt emergency responses. Additionally, the solution can be integrated with other security systems, such as automatic sprinkler systems, to minimize the potential losses caused by wildfires.